AI Adoption

Extracted Attributes

• ROI for GenAI

  3.7x for every dollar invested

• Definition of AI

  The set of computer techniques that enable a machine (e.g., a computer or telephone) to perform tasks that typically require intelligence, such as reasoning or learning. It is also referred to as the automation of intelligent tasks.

• People using AI tools daily

  35.49%

• Canada AI Adoption Rate vs. US

  Approximately three-quarters of the United States rate

• Global AI Adoption Rate (2024)

  Approximately 72% of organizations

• Operational Cost Savings from AI

  Average 22% over the past year

• Canada AI Adoption Rate (mid-2024)

  6.1%

• Canada AI Adoption Rate (mid-2025)

  12.2%

• Definition of 'Winning' in AI Race

  Achieving the fastest AI Adoption

• Global AI Market Value (Projected)

  Surpass $240 billion

• Industry AI Adoption Rate - Retail

  56% (use for operational improvements)

• AI Adoption Growth (Year-over-year)

  20%

• Canada AI Adoption Rate (June 2024)

  12% of firms

• Generative AI Use (2023-2024 stretch)

  Jumped from 55% to 75%

• Industry AI Adoption Rate - Automotive

  48% (growth in machine learning applications)

• Industry AI Adoption Rate - Healthcare

  38% (use of computers for diagnoses)

• Key Strategies for China's AI Adoption

  Embracing Open Source AI, massive investment from Hyperscalers

• Global AI Market Growth (CAGR 2025-2030)

  35.9%

• Primary Barriers to AI Adoption in Canada

  Lack of relevance, insufficient knowledge, privacy concerns

• Users increased AI usage in past 12 months

  84.58%

• Industry AI Adoption Rate - Marketing & Sales

  34%

• Industry AI Adoption Rate - Financial Services

  65%

• Companies using AI services for labor shortages

  35%

• Companies considering AI adoption in near future

  42%

• Canada Businesses intending to use AI (Sept 2025)

  14.5%

• Canada Businesses with no immediate AI plans (Sept 2025)

  Approximately one-third

Timeline

• McKinsey's definition for AI use was 'using AI in a core part of the organization’s business or at scale'. (Source: Web Search)

  2017

• McKinsey's definition for AI use was 'embedding at least 1 AI capability in business processes or products'. (Source: Web Search)

  2018-2019

• OECD provided a definition of AI. (Source: Wikipedia)

  2019

• McKinsey's definition for AI use shifted to 'the organization has adopted AI in at least 1 function' and has remained so since. (Source: Web Search)

  2020

• Montreal workshops expanded the OECD's 2019 definition of AI. (Source: Wikipedia)

  2021

• Generative AI use was at 33%. (Source: Web Search)

  2023

• The use of generative AI jumped from 55% to 75%. (Source: Web Search)

  2023-2024

• Global AI adoption reached approximately 72% in organizations. (Source: Web Search)

  2024

• Canada recorded the lowest rate of AI integration among OECD countries, with only 12% of firms implementing AI in their products or services. (Source: Wikipedia)

  2024

• Innovation, Science, and Economic Development Canada released the 'Learning Together for Responsible Artificial Intelligence' report. (Source: Wikipedia)

  2024

• Canada's AI adoption rate was 6.1%. (Source: Wikipedia)

  2024-06

• Generative AI use was at 71%. (Source: Web Search)

  2024

• British-Canadian computer scientist Geoffrey Hinton stated that Canadian companies are adopting artificial intelligence at a slower pace, which may result in the loss of the country's early advantages in the field. (Source: Wikipedia)

  2025

• Canada's AI adoption rate doubled to 12.2%. (Source: Wikipedia)

  2025-06

• Statistics Canada indicated that about one-third of Canadian businesses had no plans to adopt artificial intelligence in the next year. (Source: Wikipedia)

  2025-09

• 14.5% of Canadian businesses reported intentions to begin using AI for producing goods or delivering services. (Source: Wikipedia)

  2025-09

• At the 'All In AI' conference in Montreal, Minister of Artificial Intelligence and Digital Innovation Evan Solomon introduced a 26-person task force focused on updating Canada's AI strategy. (Source: Wikipedia)

  2025-09

Artificial intelligence industry in Canada

The artificial intelligence industry in Canada is a rapidly expanding sector. Although Canada held a pioneering role in the early development of artificial intelligence, transforming research excellence into broad commercial adoption has proven challenging. Despite globally recognized scientific achievements and a deep pool of skilled experts, by June 2024, Canada recorded the lowest rate of AI integration among OECD countries, with only 12% of firms implementing AI in their products or services. However, AI adoption has shown significant momentum—doubling from mid-2024 to mid-2025, rising from 6.1% to 12.2%. As of September 2025, Statistics Canada indicated that while about one-third of Canadian businesses had no plans to adopt artificial intelligence in the next year, 14.5% reported intentions to begin using AI for producing goods or delivering services. The primary reasons for not moving forward with AI were lack of relevance, insufficient knowledge, and privacy concerns. According to Public Works Canada (PwC), the pace of AI adoption in Canada is roughly three-quarters of the United States rate, highlighting a notable gap between the two countries in business integration of this technology. British-Canadian computer scientist Geoffrey Hinton stated in 2025 that Canadian companies are adopting artificial intelligence at a slower pace, which may result in the loss of the country's early advantages in the field. At the "All In AI" conference held in Montreal in September 2025, the Minister of Artificial Intelligence and Digital Innovation Evan Solomon, described "Building digital sovereignty" as the most pressing democratic issue of the time. He introduced a 26-person task force focused on updating Canada's AI strategy. In their 2024 report " "Learning Together for Responsible Artificial Intelligence" report, the Innovation, Science, and Economic Development Canada stressed that public awareness, trust, and AI literacy are essential for the responsible adoption and governance of AI in Canada. Montreal workshops in 2021 expanded the OECD's 2019 definition of AI as "the set of computer techniques that enable a machine (e.g., a computer or telephone) to perform tasks that typically require intelligence, such as reasoning or learning. It is also referred to as the automation of intelligent tasks. Scientific developments in AI, such as deep-learning techniques, have made it possible to design access to huge amounts of data and ever-increasing computing power. These new techniques have been rapidly deployed on a large scale in all areas of social life, in transport, education, culture and health."

Web Search Results

• AI Adoption Across Industries: Trends You Don't Want to Miss in 2025

  Regulatory barriers, security risks, and other obstacles prevented companies from adopting AI reasonably.With real-world implementations gradually becoming a norm, companies actively experiment with AI, integrating it across new operational facets.Companies should get visible results and value from AI adoption, which can be measured, i.e., in respective profits.Companies should move on integrating now more mature AI solutions across more areas, including fundamental infrastructure, to a fuller [...] Furthermore, IBM’s research states that organizations working with retail and consumer products will be making the most extensive use of AI across 2025 and beyond. Solutions like Spokn AI have been developed to help ease global consumers’ widespread adoption of AI features. Spokn AI is a tool for in-depth speech analytics in a contact center, which helps analyze sentiment and gain insights from customer conversations to find ways to improve their experience. [...] Analysts project sustained global AI market growth, which is set to surpass $240 billion in total value. AI adoption by the industry is growing by up to 20% each year. In the 2023–2024 stretch alone, the use of generative AI jumped from 55% to 75%, with companies getting a 3.7x ROI for every buck they invest in GenAI and related technologies.

• Artificial Intelligence Statistics - Magnet ABA

  Moreover, 85% of respondents express their belief that AI tools can empower them to eliminate busy work, thereby allowing focus on high-level tasks and strategic decision-making. With global AI adoption reaching approximately 72% in organizations by 2024, the momentum for AI-driven productivity and operational efficiency continues to grow. [...] The operational efficiencies attributable to AI adoption are notable. Companies leveraging AI in their processes reported average savings of 22% on operational costs over the past year. AI systems have outperformed human capabilities in tasks such as language and image recognition, leading to a notable shift in business operations. Organizations that have adopted AI in multiple business functions are witnessing a more profound impact. A survey indicates that 34% of companies are adopting AI in [...] | Sector | AI Adoption Rate | Projected Value by 2030 | --- | Healthcare | 38% (use of computers for diagnoses) | $187.95 billion | | Marketing & Sales | 34% | Over $340 billion (from generative AI) | | Automotive | 48% (growth in machine learning applications) | Not specified | | Financial Services | 65% | Impacts estimated at $340 billion | | Retail | 56% (use for operational improvements) | Not specified |

• AI trends 2025: Adoption barriers and updated predictions - Deloitte

  As AI continues to reshape industries, the organizations that thrive will be those that approach adoption with both ambition and caution. Successfully adopting agentic, physical, and sovereign AI requires more than technological investment. It demands a holistic strategy that addresses integration, governance, compliance, and workforce readiness. [...] Physical AI adoption requires employees to collaborate with machines and adapt to new workflows, often changing job roles and skill requirements. Success depends on training, change management and fostering trust. What are people saying about physical AI? [...] This article explores the practical challenges organizations face when adopting agentic, physical, and sovereign AI. The range of challenges illustrates the multifaceted nature of AI adoption and the need for integrated strategies.

• 50 NEW Artificial Intelligence Statistics (July 2025) - Exploding Topics

  ### AI Adoption: Artificial Intelligence Growth #### 35.49% of people now use AI tools every day (Exploding Topics) Our original research also found that 84.58% of users have increased their AI usage in the past 12 months. #### Approximately 1 in 3 organizations use AI (Hostinger%20adoption%20is,healthcare%2C%20retail%2C%20and%20manufacturing.)) According to Hostinger Tutorials, 35%of companies have turned to AI services to address labor shortages. [...] And42% are considering AI adoption in the near future. #### Global AI is growing at a CAGR of almost 40% (Grand View Research) AI's recent rapid growth is unlikely to slow down in the near future. In fact, global AI adoption by organizations is set to expand at a CAGR of 35.9% between 2025 and 2030. Image 6: bar chart showing AI investment plans #### The wearable AI market is expected to reach $180 billion this year (Global Market Insights) [...] Type of question Google Assistant Siri Alexa Local 93%89%85% Commerce 92%68%71% Navigation 98%86%72% Information 96%76%93% Command 86%93%69% #### More than half of telecommunications organizations use chatbots (8x8) 74% of telecommunications organizations utilize chatbots to increase their overall productivity. Meanwhile, 29% currently use conversational AI. #### AI adoption is up 20% year-over-year (IDC)

• The State of AI: Global survey - McKinsey

  1 In 2017, the definition for AI use was using AI in a core part of the organization’s business or at scale. In 2018–2019, the definition was embedding at least 1 AI capability in business processes or products. Since 2020, the definition has been that the organization has adopted AI in at least 1 function. Source: McKinsey Global Surveys on the state of AI [...] likely as their small-company peers to say their organizations have established clearly defined road maps to drive adoption of gen AI solutions (such as through phased rollouts across teams and business units) and to have established a dedicated team (such as a project management or transformation office) to drive gen AI adoption. Responses show larger organizations are also ahead on building awareness and momentum through internal communications about the value created by gen AI solutions, [...] An interactive line chart showing the use of AI by organizations, from 20% in 2017 to 78% in 2024. Use of generative AI increased from 33% in 2023 to 71% in 2024. Use of AI by business function for the latest data varied from 36% in IT to 12% in manufacturing. Use of gen AI by business function for the latest data varied from 42% in marketing and sales to 5% in manufacturing. Use of AI Use of gen AI